16852 results about "Data analysis" patented technology

The present disclosure provides for supplying collaborative planning by a computerized framework manager. Steps include furnishing network connections and collecting supply and demand information from business entities. Such information is analyzed and used to facilitate planning among the business entites. The network provides data access for multiple data sources and the network is used to store capacity data. The computerized framework manager conducts reverse inventory management of the business entities through the collection of data; analysis of data is then used to predict future demand, and predicted future demand is used to forecast costs to manufacturers, from which suggestions regarding optimization is made.

Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

Methods and devices are provided for detecting and/or preventing cheating in online gaming. Some implementations provide gaming information in formats that are difficult for a bot to interpret, but which are preferably easy for humans to interpret. Some implementations of the invention involve the tracking and analysis of players' gaming activities. Some implementations of the invention provide a multi-tier approach to data analysis. Some analyses may be performed, for example, by a centralized computing device such as a server, whereas other analyses may be performed by a host device. In some implementations, “challenge and response” measures will be employed. Some implementations of the invention involve detection and prevention of collaboration between players.

A health diagnostic system capable for monitoring the health condition of computing device on a network is disclosed. According to one aspect of the present invention, a computing device is installed a module that can provoke the monitoring process that periodically samples values representing the health condition of the computing device. The sampled values are then sent back to the monitoring server for analysis. Meanwhile a monitoring server receives the sampled values and performs data analysis to determine if the computing device is in a good/poor condition based on historic data that are further used to predicate what the remaining time is for the computing device to actually break down so that necessary measures may be taken to prevent an actual breakdown.

The present invention provides systems and methods for obtaining information from a networked system utilizing a distributed web crawler. The distributed nature of clients of a server is leveraged to provide fast and accurate web crawling data. Information gathered by a server's web crawler is compared to data retrieved by clients of the server to update the crawler's data. In one instance of the present invention, data comparison is achieved by utilizing information disseminated via a search engine results page. In another instance of the present invention, data validation is accomplished by client dictionaries, emanating from a server, that summarize web crawler data. The present invention also facilitates data analysis by providing a means to resist spoofing of a web crawler to increase data accuracy.

This invention provides methods for non-invasively monitoring patients with congestive heart failure (CHF) and for reporting and/or warning of changes in the patients' status. The methods gather physiological data and combine the data into parameters by which the severity of CHF can be judged. Preferred parameters include periodic breathing and heart rate variability. This invention also provides systems for carrying out these methods which permit patients to engage in their normal daily activities. Preferably, physiological data analysis is performed by a portable electronic unit carried by the patients.

Various embodiments of a method, system and article of manufacture to discover relationships among a first set of elements and a second set of elements are provided. At least one metric algorithm is identified based on a metric selection parameter. A raw result is determined based on the at least one metric algorithm, a first specified structural description of the first set of elements and a second specified structural description of the second set of elements. The raw result comprises a plurality of relationship measurements and the raw result is ordered. In some embodiments, a balanced result is produced based on the raw result and a matching strategy algorithm. In other embodiments, the matching strategy algorithm is identified based on a matching strategy selection parameter.

Embodiments of the present invention are directed to a search engine system, method and apparatus comprising a search engine, a participant management system, at least one storage database, a listing database and at least one feedback mechanism. The search engine accepts input data and utilizes the input data to search for information related to the search terms. Upon retrieval of relevant information, the data analysis module organizes the data related to the search terms into a search results list. To determine the placement of listings upon a search request, the data analysis module determines the probability, for each relevant listing, that the user will ultimately complete the desired action if the listing is shown, wherein the probability of action is determined by a plurality of factors. This probability is then combined with the specific CPA for the advertiser. Transaction information derived from a search and click is returned through the feedback mechanism to the search engine for revised calculation of listing placement.

The invention discloses a threat early warning and monitoring system and method based on big data analysis and a deployment architecture. The system comprises a data acquisition system module, which is used for carrying out real-time data acquisition on original network traffic; a data storage system module, which is used for carrying out data merging and data cleaning on the data collected by the data acquisition system module, and then, carrying out storage management; a real-time threat intelligent analysis system module, which is used for carrying out deep analysis and mining on security data through data mining, text analysis, traffic analysis, full-text search engine and real-time processing, and identifying unknown security threats in real time by combining an intrusion detection module, a network abnormal behavior module and a device abnormal behavior module; and a situation awareness display system module, which is used for carrying out comprehensive display on security threat situations stereoscopically in real time through a data visualization tool library. The threat early warning and monitoring system and method based on big data analysis and the deployment architecture are used for network security threat situation awareness and deep analysis under a plurality of service scenarios, and realize comprehensive abilities from attack early warning, attack identification to analysis and evidence obtaining.

Systems and methods that provide for automated research into the workings of one or more studied systems include automated research software modules that communicate with domain knowledge bases, research professionals, automated laboratories experiment objects, and data analysis processes, wherein automatically selected experiment objects can be run at an automated laboratory to produce experimental results, and the subsequent data-processing providing automated guidance to a next round of experiment choice and automated research. An Experiment Director rules engine chooses Experiment Objects based on user input through a Query Manager.

A system and a method of long-term condition monitoring of structures are based on use of autonomous sensing modules, centers for storing and processing data and software for data analysis. An autonomous sensing module contains a set of sensors for measurements of parameters related to the condition of a monitored structure, a non-volatile memory, a wireless data transfer unit, a controller, a clock circuit, a battery, an energy harvesting device and a power management unit. The autonomous sensing module provides a very long-term (40 years or more) functionality and reliability due to both use of at least near hermetic packages for the controller, the non-volatile memory, the battery, the clock circuit and the power management unit and choosing the duration of periods when the sensing module works in active mode in such a way that the average energy consumed by the autonomous sensing module is fully compensated by the average energy harvested by the energy harvesting device.

The present invention discloses various embodiments of multiple domain anomaly detection systems and methods. In one embodiment of the invention, a multiple domain anomaly detection system uses a generic learning procedure per domain to create a “normal data profile” for each domain based on observation of data per domain, wherein the normal data profile for each domain can be used to determine and compute domain-specific anomaly data per domain. Then, domain-specific anomaly data per domain can be analyzed together in a cross-domain fusion data analysis using one or more fusion rules. The fusion rules may involve comparison of domain-specific anomaly data from multiple domains to derive a multiple-domain anomaly score meter for a particular cross-domain analysis task. The multiple domain anomaly detection system and its related method may also utilize domain-specific anomaly indicators of each domain to derive a cross-domain anomaly indicator using the fusion rules.

The invention discloses an information pushing system of a WiFi (wireless fidelity) terminal and an implementation method thereof. The system comprises a WiFi signal collector, a WiFi signal processing module, a WiFi indoor positioning module, a customer activity analyzing and data mining module, a user personality file database, an advertisement information storage database, an advertisement putting and matching engine and a WiFi logging portal module. The system is suitable for all terminals with the WiFi function, such as mobile phones, PADs (personal access device) and PCs (personal computer), and different software platforms, such as Andriod, wP, iOS, Windows, MAC OS and Linux, the WiFi terminals do not need any software modification and updating, and the applicable range is wide. The possible hobby of a consumer is judged through data analysis and mining, and the real-time and on-site precise marketing is realized for target users, so on one hand, the experience of the user consuming in business places is improved, and on the other hand, the commercial value of sellers and factories is improved.

A distributed pattern recognition training method includes providing data communication between at least one central pattern analysis node and a plurality of peripheral data analysis sites. The method also includes communicating from the at least one central pattern analysis node to the plurality of peripheral data analysis a plurality of kernel-based pattern elements. The method further includes performing a plurality of iterations of pattern template training at each of the plurality of peripheral data analysis sites.

The invention discloses a system used for constructing a user figure. The system comprises a data acquisition module used for acquiring the Internet surfing log data of a user, a data pre-processing module used for pre-processing the Internet surfing log data of the user, a data analysis module used for carrying out characteristic extraction for the Internet surfing log data after pre-processing to acquire attribute characteristics of the user, a data application module used for matching in a multi-dimensional database on the basis of label classification trained by an established multi-dimensional characteristic database according to the attribute characteristics of the user to acquire multi-dimensional attribute labels of the user, and a data business module used for constructing the user figure according to the multi-dimensional attribute labels. The system is advantaged in that the holographic multi-dimensional user figure can be constructed, and rapid precise advertisement delivery of service providers/enterprises/companies and consumption behavior recommendation of use groups can be satisfied.

A method of processing data associated with fluorescent emissions from a microfluidic device. The method includes performing an auto-focus process associated with a first image of the microfluidic device and performing an auto-exposure process associated with the first image of the microfluidic device. The method also includes capturing a plurality of images of the microfluidic device. The plurality of images are associated with a plurality of thermal cycles. The method further includes performing image analysis of the plurality of captured images to determine a series of optical intensities and performing data analysis of the series of optical intensities to provide a series of change in threshold values.

The present invention provides processes for determining accurate risk probabilities for fetal aneuploidies. Specifically, the invention provides non-invasive evaluation of genomic variations through chromosome-selective sequencing and non-host fraction data analysis of maternal samples.

The subject invention overcomes the limitations of known market data displays by producing a graphical market display that integrates analysis of both 1) intra-day trading activity by classes of market participant, and 2) projected market impact as a function of trade size give the present set of executable orders in an electronic securities trade execution network. In a preferred embodiment, the display is used as the graphic user interface (GUI) of an ECN. In alternate preferred embodiments, the display is offered by a market data analysis service that accesses information form one or more ECNs, exchanges, or stock market. In another alternate embodiment, the display is created by software on a user computer form liquidity information already on that user computer.

Central nervous system, autonomic nervous system, and effector data is measured and analyzed to determine the effectiveness of marketing and entertainment stimuli. A data collection mechanism including multiple modalities such as Electroencephalography (EEG), Electrooculography (EOG), Galvanic Skin Response (GSR), etc., collects response data from subjects exposed to marketing and entertainment stimuli. A data cleanser mechanism filters the response data. The response data is enhanced using intra-modality response synthesis and/or a cross-modality response synthesis.

A content and data analysis method for evaluating and improving a website, by accessing the website to be analyzed, analyzing the content and data associated with the website, scoring the website based on a multitude of criteria, generating suggestions for improving the website, and implementing changes and improvements to the website. An electronic content and data analysis system and software program including an accessing mechanism for viewing the website to be analyzed, an analyzing mechanism for reviewing the content and data associated with the website, a scoring mechanism for attributing scores to the website based on a multitude of criteria; a generating mechanism for providing suggestions for improving a website; and an editing mechanism for implementing changes and improvements to a website is disclosed.

A system, computer program product, and method provide for reason driven data analysis in a web-based system that is configurable to various types of data and environments. The computer program product provides for navigation of a report tree of reports that are hierarchically organized with respect to reasons derived from an analysis of transactional data in a database. A frame based interface provides for easy and flexible navigation and configuration of the reports and other features. A configuration file is used to rapidly develop and customize the web-based system. Case management functionality is included to allow for management of cases being reviewed using the system.

In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes may be determined. The search query may be generated by the user. The database may be a hypermedia database.

An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication data.

The invention discloses a method and a system for making multi-dimensional analysis to message class service data. The steps of the invention comprise a data collection step and a data integration step; a data conversion and loading module is responsible for converting the data in a middle database into a relational database with star framework characteristic, settles various data to be analyzed of message class service, classifies the data with common or similar characteristics and brings the data into a unified dimension hierachy; the data in the middle database is further cleaned and converted to be processed into another multi-dimensional database; and a data analysis and presentation step is included. The corresponding system comprises a data collection module which is independently arranged, the data conversion and loading module and a data analysis and presentation module. With the invention, the multi-dimensional data model can be shared in similar value-added service system, the development cycle and cost of the system can be reduced. To apply the function of multi-dimensional data analysis possessed by the system established by the model can provide operators and equipment manufacturers with more flexible and convenient data statistic method and decision support.

An interactive learning platform comprises a teacher terminal, a student terminal and a server. The teacher terminal and the student terminal are in communication connection with the server. The server is used for storing teaching resources uploaded by teachers, information of schools, information of teachers and information of students. The teacher terminal and the student terminal are in communication connection with the server so as to achieve interaction of teaching information. The teacher terminal uploads sorted knowledge resources to the server and directly carries out one-to-one or one-to-many interactive teaching communication, electric board writing, document labeling and the like with students through a video mode. The student terminal can obtain learning resources, or carry out one-to-one communication with a teacher or watch the process of answering questions by the teacher through communication connection with the server, and the students do not need to spend time going to a training mechanism or get a private teacher for learning. Meanwhile, the mastering situation of the students on each knowledge point can be known by the platform through data analysis, targeted learning is achieved, time of the students is saved, and the learning efficiency of the students is improved.

A multi-function health monitor is capable of performing a resting 12-lead ECG test, an ECG stress test, a 24-hour holter monitor evaluation and or a 30-day MCT monitoring. Using only 3 electrodes, the multifunction health monitor derives 6 channels (Limb leads & Augmented leads) of data with the noise cancellation (ground) effect of a virtual dynamic RL electrode. An electrode resistivity measurement system quantifies and may compensate for increasing resistance the electrodes and the patient that results from the length of time the electrodes are installed on a patient. The multi-function health monitor can provide data analysis through the gate array as the data is acquired. Data may also be stored for remote analysis as well as for transmission to remote stations upon occurrence of one or more threshold events. Parameters for threshold events may be adjusted remotely to obviate the need for a patient to travel for system adjustment.

Drill bits and methods for sampling sensor data associated with the state of a drill bit are disclosed. A drill bit for drilling a subterranean formation comprises a bit body and a shank. The shank further includes a central bore formed through an inside diameter of the shank and configured for receiving a data analysis module. The data analysis module comprises a plurality of sensors, a memory, and a processor. The processor is configured for executing computer instructions to collect the sensor data by sampling the plurality of sensors, analyze the sensor data to develop a severity index, compare the sensor data to at least one adaptive threshold, and modify a data sampling mode responsive to the comparison. A method comprises collecting sensor data by sampling a plurality of physical parameters associated with a drill bit state while in various sampling modes and transitioning between those sampling modes.

A radio frequency identification (RFID) workstation reader for RFID-enabled surgical instruments and surgical instrument trays and a method of using a RFID workstation reader to read RFID-enabled surgical instruments and surgical instrument trays is disclosed. The method, apparatus, and system enable individual instruments or a surgical instrument tray containing several surgical instruments to be quickly and efficiently inventoried and tracked. An instrument or instrument tray is placed on the workstation reader. An RF field generated by a plurality of antennae, causes RFID tags embedded in or attached to the instrument or instrument tray to emit a signal containing item specific identification information stored in the tags. The information is received by a control circuit and passed to a computer for data analysis. A status LED is illuminated on the workstation reader based on the results of the data analysis. The method, apparatus, and system can track, inspect, and verify inbound and outbound surgical instrument kits, and help to assess the surgical instruments' and trays' duty life cycle usage.

A mobile computing device that dynamically and automatically manages all network adapters on the device to obtain the best and most effective balance of network connectivity and power consumption without requiring operator or user application intervention. Performance is increased by lowering power consumption (longer battery life) and decreasing transaction latencies, providing a device that has flexibility and ease of use. According to one aspect is a system that includes a data analysis component that monitors parameters associated with a device and a mobility policy manager component that provides balance of network connectivity and power consumption based at least in part upon the monitored stimuli.

The invention provides methods and devices for detecting, identifying, classifying and characterizing particles in a fluid sample. Optical analyzers are provided having a rotating and/or translating sample container for measuring the concentrations of fluorescent particles present in very low concentrations and for characterizing fluorescent particles on the basis of size, shape, diffusion constant and/or composition. Scanning optical analyzers are provided using pattern recognitions data analysis techniques and multichannel detection.